2026 overview · 2026 report · Check your salary · Company Benchmark
Walk into your next salary review or offer knowing exactly what your role pays in Berlin: full distribution by seniority, company size, and gender, plus a 12-tip negotiation playbook you can actually use. €19.90 PDF, 18 roles.
One successful raise pays it back hundreds of times over.
Built on the same 4,632-respondent dataset as the free 2026 report, going much deeper and more role-specific. We didn’t want to just throw some extra charts together. These reports combine more detailed data and negotiation tips drawn from the best articles featured in Handpicked newsletters over the years. Better preparation for your annual review, your next offer, or just a clearer picture of what’s actually going on in the Berlin market.
Good luck, and don’t forget to negotiate!
18 role-specific PDF reports, €19.90 each
Full distributions, gender pay gap inside your role, and 12 actionable negotiation tips. €9.95 for survey respondents (use the code from the survey thank-you page).
Browse all 18 rolesOperations 2026 sample (PDF, free)
The full role-report layout: same data sections, charts, and methodology. The negotiation tips chapter is the only section not included. 184 respondents.
Download the sampleWhat you’ll get
- Know your real market rate. Full salary distribution for your role (median, p25 / p75 / p90), plus startup vs established split, and band-level medians by seniority, experience, and company size.
- Negotiate with a playbook. 12 actionable negotiation tips in 3 acts (mindset · before you’re hired · once you’re inside): handling the “Expected salary” field, the “yes, if” reframe, the Mercedes raise script, the counter-offer trap, and more. Curated from the best sources featured in Handpicked over the years.
- See the patterns inside your role. Headline gender pay gap and the gap by seniority. RTO retention risk (% who’d leave or look if mandated 4+ days). Top benefits and overtime patterns. Ranked drivers of why peers leave. Bonus and equity prevalence and median € among recipients.
Plus a peer-placement read on demographics (citizenship, education, tenure, German fluency, age) with context notes on the usual confounds, and stats on raises and negotiation outcomes: % who got a raise in the last 12 months, modal raise band, and how often negotiators got the full ask vs less vs declined (incl. gender split).
Some cuts only render where the underlying sample is large enough. For smaller-sample roles (marked ⚠️ in the table below) a few sub-sections may be trimmed or shown as directional. The headline numbers and the negotiation tips chapter are the same for every role.
Format: PDF, 26–29 pages.
Available roles
18 reports, same price for each. Sample sizes (full-time salaried respondents in Berlin tech) shown next to each role. Roles marked ⚠️ have a smaller sample, so some cross-cuts may be lighter or skipped.
| Role | Sample size |
|---|---|
| Software Engineering | n=973 |
| Product Management | n=427 |
| Data & Analytics | n=408 |
| Marketing | n=375 |
| Product Design + UX Research | n=222 |
| Engineering Leadership | n=216 |
| HR & People | n=197 |
| Sales, Account Management & Customer Success | n=191 |
| Project & Program Management | n=190 |
| Operations | n=184 |
| Strategy & Business Development | n=129 |
| ⚠️ Finance | n=98 |
| ⚠️ Consulting | n=83 |
| ⚠️ System / IT Administration | n=76 |
| ⚠️ Visual & Graphic Design | n=50 |
| ⚠️ Research & Science | n=49 |
| ⚠️ AI & ML Engineering | n=43 |
| ⚠️ Legal & Compliance | n=31 |
What’s bundled in each report
Each role report combines one or more closely related job families from the survey, so the sample is large enough to support meaningful cross-cuts (seniority, company size, gender, etc.). Numbers in parentheses are the full-time respondent count for each underlying job family.
| Role report | Job families bundled | n (full-time) |
|---|---|---|
| Software Engineering | SWE - General Software Engineering (740) SWE - Cloud & DevOps (48) SWE - Quality Assurance (42) SWE - Frontend Engineering (32) SWE - Backend Engineering (29) SWE - Full Stack Engineering (28) SWE - Solutions Architecture (21) SWE - Mobile Engineering (17) SWE - SRE & Infrastructure (15) SWE - Web Development (1) | 973 |
| Product Management | Product Management (427) | 427 |
| Data & Analytics | Data Analytics (159) Data Engineering (73) Data Science (71) Specialized Analytics (46) AI & Machine Learning Engineering (43) Business Analytics (16) | 408 |
| Marketing | Marketing - Leadership & Management (174) Marketing - Brand & Communications (62) Marketing - Content & Creative (50) Marketing - Digital & Performance (48) Marketing - Operations & Analytics (24) Marketing - Community & Events (17) | 375 |
| Product Design & UX Research | Product Design (190) UX Research (32) | 222 |
| Engineering Leadership | SWE - Engineering Leadership (216) | 216 |
| HR & People | HR - Leadership & Management (83) HR - Talent Acquisition & Management (66) HR - Learning, Development & Culture (16) HR - Business Partners & Relations (16) HR - People Operations & Administration (16) | 197 |
| Sales, Account Management & Customer Success | Sales (115) Account Management (38) Customer Success (38) | 191 |
| Project & Program Management | Project Management & Coordination (161) Program Management (29) | 190 |
| Operations | Operations - Leadership & Management (114) Operations - Functional (42) Operations - Supply Chain & Procurement (28) | 184 |
| Strategy & Business Development | Strategy & Business Development (129) | 129 |
| Finance | Finance (91) Accounting (7) | 98 |
| Consulting | Consulting (83) | 83 |
| System / IT Administration | System / IT Administration (76) | 76 |
| Visual & Graphic Design | Visual & Graphic Design (50) | 50 |
| Research & Science | Research & Science (49) | 49 |
| AI & ML Engineering | AI & Machine Learning Engineering (43) | 43 |
| Legal & Compliance | Legal & Compliance (31) | 31 |
Frequently asked questions
How is this different from the free 2026 report?
The free report gives you the Berlin-wide picture across all roles. Each paid role report goes deep on a single role: full distribution (p25/p75/p90), startup vs established split, gender gap inside your role, raises and negotiation outcomes, RTO retention risk, and the negotiation tips chapter. If you only care about the headline number for Berlin, the free report is enough. If you’re prepping for a salary review or an offer in your specific role, the paid report is built for that.
How do I get the survey-respondent discount?
If you took the survey, the thank-you page included a discount code. Enter it at checkout without the dash (that’s a known quirk of the checkout flow). The discount brings the price from €19.90 to €9.95. If you lost the code, approach us.
What if my role isn’t listed?
The 18 reports cover the roles where the sample was large enough to support meaningful cross-cuts. If your role isn’t here, contact us. Depending on demand and sample size, we may be able to put a custom cut together.
What format is the report, and how do I get it?
A 26–29 page PDF, delivered via the Beehiiv product checkout. You’ll get the download link by email after payment.
Is this worth €19.90 if I already read the free report?
If you’re about to negotiate, 100% yes. The free report gives the Berlin median; the role report shows the 75th percentile inside your role at your seniority and company size, plus a 12-tip negotiation playbook. One successful raise covers the cost roughly 200x over.
Also worth it for career planning (what does the next level pay, which company sizes pay better), understanding the gender gap and RTO risk inside your role, or for hiring teams benchmarking offers.
Will there be an updated version next year?
Yes. The Berlin Salary Trends survey runs annually, and each year’s reports reflect that year’s data. We don’t ship updates to a previous year’s report.
What about the smaller-sample roles (⚠️)?
You still get the full report and the negotiation tips chapter. Some sub-cuts (like the gender gap by seniority, or the bonus prevalence grid) may be trimmed or shown as directional rather than precise. Wherever the underlying sample is too small to be reliable, we say so explicitly rather than printing a misleading number.
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